.. _executable: Program Executable ================== GDAS can be run either from a python script using the available modules or directly from the program executable ``gdas``. Several operations can be run using the executable (e.g. excesspower, triggermap, faketrigger), the help message can be displayed on the terminal using the standard argument ``-h`` or ``--help`` as follows: .. code-block:: none [~]% gdas -h usage: gdas [options] GNOME Data Analysis Software positional arguments: {excesspower,triggermap,faketrigger} Operation to perform optional arguments: -h, --help show this help message and exit --station Station name --start-time Start time in format YYYY-M-D-H-M --end-time End time in format YYYY-M-D-H-M --data-path Custom path where data are stored --resample New sampling rate for real data resampling --band Bandwidth of the finest filters. Default is None, and would be inferred from the data bandwidth and number of channels. --filename Input filename. --fmin Lowest frequency of the filter bank, default is 0 Hz. --fmax Highest frequency of the filter bank, default is None, meaning use Nyquist. --max-duration Longest duration tile to compute. --nchans Number of frequency channels to use. --output Output filename of the trigger map. --psd-estimation Average method --sample-rate Sampling rate --segment-length Length of each segment in seconds --segment-stride Separation between 2 consecutive segments in seconds --segments Number of segments to be created. --simulation Use artificial data --tile-fap Tile false alarm probability threshold in Gaussian noise. --window-fraction Withening window fraction --wtype Whitening type, can tukey or hann